US11113943B2 - Systems and methods for predictive environmental fall risk identification - Google Patents

Systems and methods for predictive environmental fall risk identification Download PDF

Info

Publication number
US11113943B2
US11113943B2 US16/866,194 US202016866194A US11113943B2 US 11113943 B2 US11113943 B2 US 11113943B2 US 202016866194 A US202016866194 A US 202016866194A US 11113943 B2 US11113943 B2 US 11113943B2
Authority
US
United States
Prior art keywords
sensor
user
environmental map
risk
training
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
US16/866,194
Other languages
English (en)
Other versions
US20200357256A1 (en
Inventor
Jacob R. Wright
Hannah S. Rich
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electronic Caregiver Inc
Original Assignee
Electronic Caregiver Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Electronic Caregiver Inc filed Critical Electronic Caregiver Inc
Priority to US16/866,194 priority Critical patent/US11113943B2/en
Assigned to ELECTRONIC CAREGIVER, INC. reassignment ELECTRONIC CAREGIVER, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: RICH, Hannah S., WRIGHT, Jacob R.
Publication of US20200357256A1 publication Critical patent/US20200357256A1/en
Priority to US17/463,270 priority patent/US12033484B2/en
Application granted granted Critical
Publication of US11113943B2 publication Critical patent/US11113943B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/092—Reinforcement learning
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/0423—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Definitions

  • the present technology pertains to systems and methods for predictive environmental fall risk identification.
  • the present disclosure is directed to a system of one or more computers which can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination thereof installed on the system that in operation causes or cause the system to perform actions and/or method steps as described herein.
  • the present technology is methods for predictive environmental fall risk identification for a user.
  • the method comprises: (a) receiving dynamic observations of an environmental map using a sensor; (b) determining the environmental map; (c) collecting a set of risk factors for the environmental map using the sensor; (d) assessing the set of risk factors for the environmental map for the user; (e) creating a first training set comprising the collected set of risk factors; (f) training an artificial neural network in a first stage using the first training set; (g) creating a second training set for a second stage of training comprising the first training set and the dynamic observations of the environmental map; (h) training the artificial neural network in the second stage using the second training set; (i) predicting a fall risk of the user using the artificial neural network; and (j) sending an alert to the user based on the dynamic observations of the environmental map and the fall risk of the user.
  • the senor includes but is not limited to a visual sensor.
  • the sensor includes a Radio Frequency (RF) sensor, light detection and ranging sensor (“LiDAR”), an audio sensor, a temperature sensor, a light sensor, and the like.
  • RF Radio Frequency
  • LiDAR light detection and ranging sensor
  • FIG. 1 is a flow chart of methods for predictive environmental fall risk identification according to exemplary embodiments of the present technology.
  • FIG. 2 illustrates an environmental map for predictive environmental fall risk identification according to exemplary embodiments of the present technology.
  • FIG. 3 illustrates an environmental map for predictive environmental fall risk identification with changes in the environment being detected according to exemplary embodiments of the present technology.
  • FIG. 4 illustrates a computer system according to exemplary embodiments of the present technology.
  • ML in the context of camera technology and home-health as a solution to increase safety in the home environment.
  • type of ML that uses Reinforced Learning (RL) to produce the Environmental Fall Risks (EFRTM) associated, which is dependent upon the individual (i.e., a user) and (changes in) time and notifies at-risk individuals.
  • RL Reinforced Learning
  • EFRTM Environmental Fall Risks
  • Embodiments of the present technology are a solution that reduces the high cost of home-health-care monitoring while decreasing hazards and preventing falls, and maintaining a user's safety and independence.
  • Embodiments of the present technology are environment assessment systems and methods that identify risks that human interpretation is unable to anticipate, notice risks quickly, and alert the user.
  • Embodiments of the present technology include a simulated environment that incorporates near-real-time technology to predict and detect risks.
  • Some embodiments of the present technology use simulations and visual sensors to produce Reinforced Learning (RL) models that accurately predict potential and existing EFRTM, as well as identify newly developed EFRTM in near-real time.
  • Potential and existing factors include furniture placement, room-dependent risk, user's individual fall risk, and the progression of time.
  • Each room in an environment has a calculated EFRTM from contributing factors.
  • Exemplary contributing factors include floor changes (e.g. traveling from rug to carpet, tile to rug, etc.), uneven floors (i.e. uneven tiles), room-dependent baseline (bathrooms have high fall risk), and furniture placement.
  • Additional exemplary contributing factors of environmental fall risks are not physical textures/obstructions and include causalities of non-physical attributes (i.e.
  • Time progression calculates in near-real time changing EFRTM for room-dependent risk and individual fall risk factors combined.
  • risk values for suggested furniture rearrangement may be defined as potential and existing risks, which are high (low) if an initial value is greater than or equal to sixty percent (less than thirty percent), becomes high (low) for greater than fifty percent (less than ten percent) after a sequence.
  • these models are produced with training data gathered and analyzed by systems of the present technology to include all factors listed changing in time and output new fall risks.
  • the RL model of the user and the EFRTM is integrated with visual sensors. For example, a person with 75 percent individual fall risk is in a room with 0 percent, their total does not change. Now, the same person in a room with 21.3 percent risk, then the total risk is increased. There is also a dependent relationship on time. The longer the person is in a room, the higher the risk (i.e., total risk includes individual, room, and time). For example, this baseline may be established for an equation that depends on time (see equation 1 below):
  • the same visual sensors that detected the time someone remained in a room have also been placed to maximize square-feet covered. If the shower has 1 major risk, it has a score of fifty risk units. If the living room area with a view of the kitchen has several medium and minor risks with a score of two-hundred risk units, a sensor is placed there instead of in the bathroom.
  • Embodiments of the present technology use a trained model to automatically identify hazards and notify at-risk individuals of RL-identified falling hazards and EFRTM.
  • this RL technique identifies common and ambiguous Environmental Fall Risks (EFR) in real time, incorporates individual variables, and reduce health costs by preventing falls.
  • EFR Environmental Fall Risks
  • FIG. 1 is a flow chart 100 of methods for predictive environmental fall risk identification according to exemplary embodiments of the present technology.
  • FIG. 1 shows a simulation process implemented to predict and identify Environmental Fall Risks (EFRTM).
  • the first step in the simulation process is input information that is taken by an agent using Reinforced Learning (RL) from measurements of environment state, with objects, to start mapping the environment in three dimensions.
  • RL Reinforced Learning
  • Methods and systems of the present technology take an action based off what is detected by interacting with the surroundings.
  • the agent evaluates actions through a reward function and learns how to improve capabilities.
  • the reward function stipulates that all goals can be achieved by maximizing the expected future reward over all sequences.
  • the agent is a self-driving car that creates an environmental map (e.g., a map of a home). For example, small computers connected to sensors with ML models deployed to them assess and identify fall risks.
  • the agent e.g., a self-driving car
  • produces a baseline of the environment and environment optimization recommendations e.g., rearranging furniture, lighting adjustments, etc.
  • the baseline of the RL that the sensors use to detect changes.
  • FIG. 2 illustrates an environmental map 200 for predictive environmental fall risk identification according to exemplary embodiments of the present technology.
  • FIG. 2 shows fall risks are established by incorporating items in the Environmental Map with users' individual risk, progression in time, and predefined dependent factors. Contributing factors include furniture placement, floor changes (risks increase when traveling from a carpet to tile, rug to carpet or tile, etc.), and room-dependent risks. Variables for room-dependent risk for falls include 35.7% in the bathroom, 21.3% in the bedroom, and 15.3% in the kitchen. The percentages are provided as examples and are non-limiting.
  • the agent starts the initial sequence on the left by the front door, goes into the bedroom, and finishes the last sequence after going through the kitchen.
  • the agent has interacted, detected what should be included in the next environmental state x 2 , mapped them, and identified associated risks. This equation is provided as an example and its accuracy improves using ML as additional data is collected.
  • the agent needs to figure out the map and identify if the agent is in a bedroom or bathroom, and so on, while simultaneously identifying and mapping risks (e.g. from furniture or rug placement).
  • An individual user is notified of specific risks and furniture rearrangement(s) is suggested with associated changes in risks.
  • the change of tile yields a high-risk for falls.
  • the agent includes user's individual fall risk and time progression.
  • PCA Principle Component Analysis
  • the method consists of adapting the method for one dimensional data to three dimensional.
  • h(x) Path length
  • c(n) Measure of convergence
  • s(x,n) Anomaly score of an instance x
  • H(i) Hardmonic number, estimated by ln(i)+0.5772156649
  • E(h(x)) Average of h(x) averaged over a forest of random trees.
  • FIG. 3 illustrates an environmental map 300 for predictive environmental fall risk identification with changes in the environment being detected according to exemplary embodiments of the present technology.
  • FIG. 3 shows new risks associated with furniture rearrangement, how changes in the environment are detected by the visual sensors using RL to identify newly developed risks, and placement of visual sensors to maximize sq.-ft coverage. Maximized coverage gives the ability to identify and detect both, newly formed risks, and time remained in the room (or absence thereof). For example, FIG. 3 shows a cat has knocked over a vase, forming a puddle changing the fall risk for a user. In near-real-time, the user is notified of the change in fall risk.
  • FIG. 4 illustrates a computer system according to exemplary embodiments of the present technology.
  • FIG. 4 is a diagrammatic representation of an example machine in the form of a computer system 1 , within which a set of instructions for causing the machine to perform any one or more of the methodologies discussed herein may be executed.
  • the machine operates as a standalone device or may be connected (e.g., networked) to other machines.
  • the machine may operate in the capacity of a server or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.
  • the machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a personal digital assistant (PDA), a cellular telephone, a portable music player (e.g., a portable hard drive audio device such as an Moving Picture Experts Group Audio Layer 3 (MP3) player), a web appliance, a network router, switch or bridge, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine.
  • PC personal computer
  • PDA personal digital assistant
  • MP3 Moving Picture Experts Group Audio Layer 3
  • MP3 Moving Picture Experts Group Audio Layer 3
  • web appliance e.g., a web appliance, a network router, switch or bridge, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine.
  • machine shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.
  • the example computer system 1 includes a processor or multiple processor(s) 5 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), or both), and a main memory 10 and static memory 15 , which communicate with each other via a bus 20 .
  • the computer system 1 may further include a video display 35 (e.g., a liquid crystal display (LCD)).
  • a processor or multiple processor(s) 5 e.g., a central processing unit (CPU), a graphics processing unit (GPU), or both
  • main memory 10 and static memory 15 which communicate with each other via a bus 20 .
  • the computer system 1 may further include a video display 35 (e.g., a liquid crystal display (LCD)).
  • LCD liquid crystal display
  • the computer system 1 may also include an alpha-numeric input device(s) 30 (e.g., a keyboard), a cursor control device (e.g., a mouse), a voice recognition or biometric verification unit (not shown), a drive unit 37 (also referred to as disk drive unit), a signal generation device 40 (e.g., a speaker), and a network interface device 45 .
  • the computer system 1 may further include a data encryption module (not shown) to encrypt data.
  • the disk drive unit 37 includes a computer or machine-readable medium 50 on which is stored one or more sets of instructions and data structures (e.g., instructions 55 ) embodying or utilizing any one or more of the methodologies or functions described herein.
  • the instructions 55 may also reside, completely or at least partially, within the main memory 10 and/or within the processor(s) 5 during execution thereof by the computer system 1 .
  • the main memory 10 and the processor(s) 5 may also constitute machine-readable media.
  • the instructions 55 may further be transmitted or received over a network via the network interface device 45 utilizing any one of a number of well-known transfer protocols (e.g., Hyper Text Transfer Protocol (HTTP)).
  • HTTP Hyper Text Transfer Protocol
  • the machine-readable medium 50 is shown in an example embodiment to be a single medium, the term “computer-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database and/or associated caches and servers) that store the one or more sets of instructions.
  • computer-readable medium shall also be taken to include any medium that is capable of storing, encoding, or carrying a set of instructions for execution by the machine and that causes the machine to perform any one or more of the methodologies of the present application, or that is capable of storing, encoding, or carrying data structures utilized by or associated with such a set of instructions.
  • the term “computer-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, optical and magnetic media, and carrier wave signals. Such media may also include, without limitation, hard disks, floppy disks, flash memory cards, digital video disks, random access memory (RAM), read only memory (ROM), and the like.
  • RAM random access memory
  • ROM read only memory
  • the example embodiments described herein may be implemented in an operating environment comprising software installed on a computer, in hardware, or in a combination of software and hardware.
  • the Internet service may be configured to provide Internet access to one or more computing devices that are coupled to the Internet service, and that the computing devices may include one or more processors, buses, memory devices, display devices, input/output devices, and the like.
  • the Internet service may be coupled to one or more databases, repositories, servers, and the like, which may be utilized in order to implement any of the embodiments of the disclosure as described herein.
  • These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
  • the computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Gerontology & Geriatric Medicine (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Psychology (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • General Business, Economics & Management (AREA)
  • Alarm Systems (AREA)
  • User Interface Of Digital Computer (AREA)
US16/866,194 2019-05-07 2020-05-04 Systems and methods for predictive environmental fall risk identification Active US11113943B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US16/866,194 US11113943B2 (en) 2019-05-07 2020-05-04 Systems and methods for predictive environmental fall risk identification
US17/463,270 US12033484B2 (en) 2019-05-07 2021-08-31 Systems and methods for predictive environmental fall risk identification using dynamic input

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962844661P 2019-05-07 2019-05-07
US16/866,194 US11113943B2 (en) 2019-05-07 2020-05-04 Systems and methods for predictive environmental fall risk identification

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US17/463,270 Continuation US12033484B2 (en) 2019-05-07 2021-08-31 Systems and methods for predictive environmental fall risk identification using dynamic input

Publications (2)

Publication Number Publication Date
US20200357256A1 US20200357256A1 (en) 2020-11-12
US11113943B2 true US11113943B2 (en) 2021-09-07

Family

ID=73047459

Family Applications (2)

Application Number Title Priority Date Filing Date
US16/866,194 Active US11113943B2 (en) 2019-05-07 2020-05-04 Systems and methods for predictive environmental fall risk identification
US17/463,270 Active US12033484B2 (en) 2019-05-07 2021-08-31 Systems and methods for predictive environmental fall risk identification using dynamic input

Family Applications After (1)

Application Number Title Priority Date Filing Date
US17/463,270 Active US12033484B2 (en) 2019-05-07 2021-08-31 Systems and methods for predictive environmental fall risk identification using dynamic input

Country Status (10)

Country Link
US (2) US11113943B2 (fr)
EP (1) EP3966657A4 (fr)
JP (1) JP2022531490A (fr)
KR (1) KR20210151885A (fr)
CN (1) CN113795808A (fr)
AU (1) AU2020267402A1 (fr)
BR (1) BR112021020866A2 (fr)
CA (1) CA3137309A1 (fr)
SG (1) SG11202111811RA (fr)
WO (1) WO2020227303A1 (fr)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11213224B2 (en) 2018-03-19 2022-01-04 Electronic Caregiver, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US20220067547A1 (en) * 2020-09-01 2022-03-03 International Business Machines Corporation Smart environment mitigation of identified risk
US11488724B2 (en) 2018-06-18 2022-11-01 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
US11791050B2 (en) 2019-02-05 2023-10-17 Electronic Caregiver, Inc. 3D environment risks identification utilizing reinforced learning
US11923058B2 (en) 2018-04-10 2024-03-05 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US12009083B2 (en) 2020-11-16 2024-06-11 Electronic Caregiver, Inc. Remote physical therapy and assessment of patients
US12011259B2 (en) 2015-12-11 2024-06-18 Electronic Caregiver, Inc. Systems and methods for fall detection
US12033484B2 (en) 2019-05-07 2024-07-09 Electronic Caregiver, Inc. Systems and methods for predictive environmental fall risk identification using dynamic input
US12034748B2 (en) 2020-02-28 2024-07-09 Electronic Caregiver, Inc. Intelligent platform for real-time precision care plan support during remote care management
US12125137B2 (en) 2020-05-13 2024-10-22 Electronic Caregiver, Inc. Room labeling drawing interface for activity tracking and detection
US12127817B2 (en) 2020-07-22 2024-10-29 Electronic Caregiver, Inc. Systems and methods for mitigating the spread of infectious diseases
US12265900B2 (en) 2018-01-17 2025-04-01 Electronic Caregiver, Inc. Computing devices with improved interactive animated conversational interface systems

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220359091A1 (en) * 2021-05-04 2022-11-10 Electronic Caregiver, Inc. Clinical Pathway Integration and Clinical Decision Support
KR102871675B1 (ko) * 2019-08-27 2025-10-16 엘지전자 주식회사 가구의 배치 위치를 가이드하는 인공 지능 장치 및 그의 동작 방법
WO2021087185A1 (fr) * 2019-10-31 2021-05-06 Matrixcare, Inc. Systèmes et procédés de quantification de dangers dans des pièces d'habitation
US11436777B1 (en) 2020-02-07 2022-09-06 Corelogic Solutions, Llc Machine learning-based hazard visualization system
WO2022081717A1 (fr) * 2020-10-13 2022-04-21 Flyreel, Inc. Génération de mesures de structures et d'environnements physiques par analyse automatisée de données de capteur
CN112489368A (zh) * 2020-11-30 2021-03-12 安徽国广数字科技有限公司 智能跌倒识别与检测报警方法及系统
CN119970011B (zh) * 2025-04-14 2025-07-29 合肥雷能信息技术有限公司 基于毫米波雷达的跌倒检测方法
CN120431677B (zh) * 2025-07-08 2025-09-16 运城市恩光科技有限公司 基于智能穿戴设备的协同应急处理方法、系统及设备

Citations (103)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5211642A (en) * 1991-10-28 1993-05-18 Clendenning Beverly F Chambers drainage system
US5475953A (en) * 1994-09-29 1995-12-19 Powerflor, Inc. 2-shaped edge molding strip
US20020062342A1 (en) 2000-11-22 2002-05-23 Sidles Charles S. Method and system for completing forms on wide area networks such as the internet
US20020196944A1 (en) 2001-02-16 2002-12-26 United Parcel Service Of America, Inc. Systems and methods for licensing and providing selective access to network applications
US6665647B1 (en) 1997-11-24 2003-12-16 Chris A. Haudenschild Enterprise healthcare management system and method of using same
US20040109470A1 (en) 2002-11-18 2004-06-10 Jacob Derechin System and method for reducing bandwidth requirements for remote applications by utilizing client processing power
US20050035862A1 (en) 2001-05-08 2005-02-17 Wildman Timothy D. Article locating and tracking apparatus and method
US20050055942A1 (en) * 2003-08-26 2005-03-17 M & M Flooring Method for manufacturing and installing a prefabricated hardwood floor
US7233872B2 (en) 2003-02-14 2007-06-19 Akebono Brake Industry Co., Ltd. Difference correcting method for posture determining instrument and motion measuring instrument
US20070238936A1 (en) 2006-04-10 2007-10-11 Shirley Ann Becker Portable Electronic Medical Assistant
US20080010293A1 (en) 2006-07-10 2008-01-10 Christopher Zpevak Service level agreement tracking system
US7445086B1 (en) * 2007-01-16 2008-11-04 Daniel Sizemore Ladder lock
US20090094285A1 (en) 2007-10-03 2009-04-09 Mackle Edward G Recommendation apparatus
US7612681B2 (en) 2007-02-06 2009-11-03 General Electric Company System and method for predicting fall risk for a resident
US20110126207A1 (en) 2009-11-25 2011-05-26 Novell, Inc. System and method for providing annotated service blueprints in an intelligent workload management system
US20110145018A1 (en) 2005-03-21 2011-06-16 Fotsch Edward J Drug and medical device safety and support information reporting system, processing device and method
US7971141B1 (en) 2006-10-31 2011-06-28 Intuit Inc. Method and system for populating a form based on an existing format
US20110232708A1 (en) * 2010-03-24 2011-09-29 James Martin Kemp Walker and wheel assembly
US20120025989A1 (en) 2010-07-30 2012-02-02 General Electric Company Method and system for detecting a fallen person using a range imaging device
US20120075464A1 (en) 2010-09-23 2012-03-29 Stryker Corporation Video monitoring system
US20120120184A1 (en) 2010-11-15 2012-05-17 Cisco Technology, Inc. System and method for providing camera functions in a video environment
US20120121849A1 (en) * 2010-11-12 2012-05-17 Suminoe Textile Co., Ltd. Automobile use mat with a distinguished anti-slip feature
US20120154582A1 (en) 2010-09-14 2012-06-21 General Electric Company System and method for protocol adherence
US8206325B1 (en) 2007-10-12 2012-06-26 Biosensics, L.L.C. Ambulatory system for measuring and monitoring physical activity and risk of falling and for automatic fall detection
US20120165618A1 (en) 2010-12-22 2012-06-28 Richard Algoo Method and apparatus for health avatar
US20120179916A1 (en) 2010-08-18 2012-07-12 Matt Staker Systems and methods for securing virtual machine computing environments
US20120179067A1 (en) 2011-01-10 2012-07-12 William Oren Wekell System and method for patient monitoring
US20120229634A1 (en) 2011-03-11 2012-09-13 Elisabeth Laett Method and system for monitoring the activity of a subject within spatial temporal and/or behavioral parameters
US20120253233A1 (en) * 2011-03-31 2012-10-04 Greene Barry Algorithm for quantitative standing balance assessment
US20130000228A1 (en) * 2006-02-09 2013-01-03 University Of Notre Dame Du Lac Flooring apparatus for reducing impact energy during a fall
US20130127620A1 (en) 2011-06-20 2013-05-23 Cerner Innovation, Inc. Management of patient fall risk
US20130145449A1 (en) 2010-08-03 2013-06-06 Jens-Uwe Busser Method and Apparatus for Providing a One-Time Password
US20130167025A1 (en) 2011-12-27 2013-06-27 Tata Consultancy Services Limited System and method for online user assistance
US20130204545A1 (en) 2009-12-17 2013-08-08 James C. Solinsky Systems and methods for sensing balanced-action for improving mammal work-track efficiency
US20130212501A1 (en) 2012-02-10 2013-08-15 Glen J. Anderson Perceptual computing with conversational agent
US20130237395A1 (en) 2012-03-09 2013-09-12 Kari Hjelt Dynamically configurable balancing board
US20130289449A1 (en) 2012-04-27 2013-10-31 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
WO2014043757A1 (fr) 2012-09-20 2014-03-27 National Ict Australia Limited Détection de foulée
US20140128691A1 (en) 2011-07-08 2014-05-08 Global Nutrition & Health Inc. Personalized Nutritional and Wellness Assistant
US20140148733A1 (en) 2012-04-27 2014-05-29 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
US20140171834A1 (en) 2012-10-20 2014-06-19 Elizabethtown College Electronic-Movement Analysis Tool for Motor Control Rehabilitation and Method of Using the Same
US20140171039A1 (en) 2012-10-04 2014-06-19 Bernt Erik Bjontegard Contextually intelligent communication systems and processes
US8771206B2 (en) 2011-08-19 2014-07-08 Accenture Global Services Limited Interactive virtual care
US20140232600A1 (en) 2012-03-21 2014-08-21 Secure Care Products, Llc Outdoor Object Location System and Method Thereof
US20140243686A1 (en) 2011-10-17 2014-08-28 Zebadiah M. Kimmel Method and apparatus for detecting deterioration of health status
US20140278605A1 (en) 2013-03-15 2014-09-18 Ncr Corporation System and method of completing an activity via an agent
US20140330172A1 (en) 2013-02-27 2014-11-06 Emil Jovanov Systems and Methods for Automatically Quantifying Mobility
US20140337048A1 (en) 2012-09-07 2014-11-13 Next It Corporation Conversational Virtual Healthcare Assistant
US20140358828A1 (en) * 2013-05-29 2014-12-04 Purepredictive, Inc. Machine learning generated action plan
US20140368601A1 (en) 2013-05-04 2014-12-18 Christopher deCharms Mobile security technology
US20150019250A1 (en) 2009-05-22 2015-01-15 A-Vu Media Corp. Manager-controllable integrated user content and services system
US20150109442A1 (en) 2010-09-23 2015-04-23 Stryker Corporation Video monitoring system
US20150169835A1 (en) * 2010-12-01 2015-06-18 University Of Utah Research Foundation Faint and fall assessment
US20150359467A1 (en) 2006-05-24 2015-12-17 Empire Ip Llc Fitness Monitoring
US20160026354A1 (en) * 2014-02-06 2016-01-28 Empoweryu, Inc. System and method for adaptive indirect monitoring of subject for well-being in unattended setting
KR20160040078A (ko) 2014-10-02 2016-04-12 (주)직토 휴대용 전자기기의 바디 밸런스 측정 방법 및 장치
US20160154977A1 (en) 2014-11-27 2016-06-02 Vilasa Palleda Jagadish Transmitting medical datasets
US20160217264A1 (en) 2015-01-27 2016-07-28 Catholic Health Initiatives Systems and methods for virtually integrated care delivery
US20160253890A1 (en) 2013-10-29 2016-09-01 Milbat - Giving Quality of Life Walker-assist device
US20160267327A1 (en) 2013-10-17 2016-09-15 Drägerwerk AG & Co. KGaA Method for monitoring a patient within a medical monitoring area
US20160314255A1 (en) * 2015-04-21 2016-10-27 Diane J. Cook Environmental sensor-based cognitive assessment
US20170000422A1 (en) 2012-08-16 2017-01-05 Ginger.io, Inc. Method and system for modeling behavior and heart disease state
US20170000387A1 (en) * 2015-06-30 2017-01-05 iShoe, Inc. Identifying fall risk using machine learning algorithms
US20170055917A1 (en) * 2015-08-28 2017-03-02 Erik E. Stone Systems for automatic assessment of fall risk
US9591996B2 (en) 2013-06-07 2017-03-14 Lumo BodyTech, Inc System and method for detecting transitions between sitting and standing states
US20170140631A1 (en) 2015-09-17 2017-05-18 Luvozo Pbc Automated environment hazard detection
US20170147154A1 (en) 2015-11-19 2017-05-25 Travis William Steiner Context-aware recommendations of relevant presentation content displayed in mixed environments
US20170193163A1 (en) 2015-12-30 2017-07-06 Accenture Global Solutions Limited User device platform for interacting with cloud-based platform
US20170192950A1 (en) 2016-01-05 2017-07-06 Adobe Systems Incorporated Interactive electronic form workflow assistant that guides interactions with electronic forms in a conversational manner
US20170197115A1 (en) 2016-01-08 2017-07-13 Balance4Good Ltd. Balance testing and training system and method
US20170213145A1 (en) * 2016-01-21 2017-07-27 Verily Life Sciences Llc Adaptive model-based system to automatically quantify fall risk
US20170337274A1 (en) 2016-05-17 2017-11-23 Google Inc. Unified message search
US20170344706A1 (en) 2011-11-11 2017-11-30 Rutgers, The State University Of New Jersey Systems and methods for the diagnosis and treatment of neurological disorders
US20170344832A1 (en) * 2012-11-28 2017-11-30 Innovative Alert Systems Inc. System and method for event monitoring and detection
WO2018032089A1 (fr) 2016-08-19 2018-02-22 Qusaybatie Mahamad Eid Système, procédé et support lisible par ordinateur pour l'évaluation de risque d'endommagement par pression dynamique et une réponse au risque
US20180075558A1 (en) 2016-09-12 2018-03-15 National Health Coalition, Inc. Processing Pharmaceutical Prescriptions in Real Time Using a Clinical Analytical Message Data File
US9972187B1 (en) * 2016-11-13 2018-05-15 Agility4Life Biomechanical parameter determination for emergency alerting and health assessment
US20180165938A1 (en) * 2016-12-09 2018-06-14 Fuji Xerox Co., Ltd. Monitoring apparatus and non-transitory computer readable medium
US20180182472A1 (en) * 2015-06-30 2018-06-28 Kenzie L. Preston Method and system for a mobile health platform
US20180189756A1 (en) 2011-08-18 2018-07-05 Visa International Service Association Multi-directional wallet connector apparatuses, methods and systems
US20180322405A1 (en) 2013-03-14 2018-11-08 Google Llc Smart-home environment networking systems and methods
US20180360349A9 (en) 2015-12-11 2018-12-20 SameDay Security, Inc. Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response
US20180368780A1 (en) * 2016-02-04 2018-12-27 Dotvocal S.R.L. People monitoring and personal assistance system, in particular for elderly and people with special and cognitive needs
US20190029900A1 (en) 2017-07-28 2019-01-31 Hill-Rom Services, Inc. Bed-based safety protocol control
US20190042700A1 (en) 2017-08-02 2019-02-07 Imam Abdulrahman Bin Faisal University Apparatus and method for real-time assessment, mapping, and building databases of quality of life indicators
US20190057320A1 (en) * 2017-08-16 2019-02-21 ODH, Inc. Data processing apparatus for accessing shared memory in processing structured data for modifying a parameter vector data structure
US20190090786A1 (en) * 2017-09-27 2019-03-28 Samsung Electronics Co., Ltd. Method and device for detecting dangerous situation
US20190116212A1 (en) 2017-10-16 2019-04-18 Vincent Paul Spinella-Mamo Contextual and Collaborative Media
US20190130110A1 (en) * 2017-11-01 2019-05-02 International Business Machines Corporation Protecting Cognitive Systems from Gradient Based Attacks through the Use of Deceiving Gradients
US20190164015A1 (en) * 2017-11-28 2019-05-30 Sigma Ratings, Inc. Machine learning techniques for evaluating entities
US20190196888A1 (en) * 2017-12-27 2019-06-27 Pearson Education, Inc. Automated registration and greeting process - custom queueing (security)
US20190220727A1 (en) 2018-01-17 2019-07-18 SameDay Security, Inc. Computing Devices with Improved Interactive Animated Conversational Interface Systems
US10387963B1 (en) 2015-09-24 2019-08-20 State Farm Mutual Automobile Insurance Company Method and system of generating a call agent avatar using artificial intelligence
US20190259475A1 (en) 2018-02-20 2019-08-22 SameDay Security, Inc. Connected Kiosk for the Real-Time Assessment of Falls Risk
US20190286942A1 (en) * 2018-03-13 2019-09-19 Recogni Inc. Deterministic labeled data generation and artificial intelligence training pipeline
US20190282130A1 (en) 2018-03-19 2019-09-19 SameDay Security, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US20190311792A1 (en) 2018-04-10 2019-10-10 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US20190318165A1 (en) * 2018-04-16 2019-10-17 Peerwell, Inc. Hazard recognition
US20190385749A1 (en) 2018-06-18 2019-12-19 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
US20200101969A1 (en) * 2018-09-28 2020-04-02 Intel Corporation Vehicle controller and method for controlling a vehicle
US10628635B1 (en) 2017-03-29 2020-04-21 Valyant AI, Inc. Artificially intelligent hologram
US20200251220A1 (en) 2019-02-05 2020-08-06 Electronic Caregiver, Inc. 3d environment risks identification utilizing reinforced learning
WO2020227303A1 (fr) 2019-05-07 2020-11-12 Electronic Caregiver, Inc. Systèmes et procédés pour une identification prédictive de risque de chute environnemental

Family Cites Families (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5601910A (en) * 1995-04-18 1997-02-11 E. I. Du Pont De Nemours And Company Rug underlay substantially impervious to liquids
WO2000005639A2 (fr) 1998-07-21 2000-02-03 Originet Procede et systeme pour creer un avatar de guide pour ordinateur interactif
JP4744715B2 (ja) 2001-04-06 2011-08-10 株式会社ブロードリーフ 情報開示方法
JP2005228305A (ja) 2004-01-15 2005-08-25 Tokyoto Koreisha Kenkyu Fukushi Shinko Zaidan 老年症候群の危険性の判定方法
US20060001545A1 (en) * 2005-05-04 2006-01-05 Mr. Brian Wolf Non-Intrusive Fall Protection Device, System and Method
ATE522330T1 (de) 2005-09-30 2011-09-15 Irobot Corp Robotersystem mit kabelloser kommunikation mittels tcp/ip übertragung
US9772751B2 (en) 2007-06-29 2017-09-26 Apple Inc. Using gestures to slide between user interfaces
US9579047B2 (en) * 2013-03-15 2017-02-28 Careview Communications, Inc. Systems and methods for dynamically identifying a patient support surface and patient monitoring
US10438496B2 (en) 2008-11-18 2019-10-08 Victoria Panzer Method and system for fall prevention in older adults
US20120316897A1 (en) 2011-06-10 2012-12-13 AI Cure Technologies, Inc. Method and Apparatus for Monitoring Medication Adherence
US20130303860A1 (en) 2011-11-21 2013-11-14 Robert Bender Systems and methods for use in fall risk assessment
US20140257851A1 (en) 2013-03-05 2014-09-11 Clinton Colin Graham Walker Automated interactive health care application for patient care
US9414222B1 (en) * 2013-03-12 2016-08-09 Amazon Technologies, Inc. Predictive caching devices, systems and methods
US9258522B2 (en) 2013-03-15 2016-02-09 Stryker Corporation Privacy setting for medical communications systems
US9317916B1 (en) 2013-04-12 2016-04-19 Aic Innovations Group, Inc. Apparatus and method for recognition of medication administration indicator
JP6448626B2 (ja) 2013-06-06 2019-01-09 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 転倒検出システム及び方法
CA2949449C (fr) 2014-05-23 2021-05-25 Dacadoo Ag Systeme automatise d'acquisition, de traitement et de communication de donnees de sante
US10360349B2 (en) 2014-10-27 2019-07-23 MolecularMatch, Inc. Personalized medicine service
CN104361321B (zh) 2014-11-13 2018-02-09 侯振杰 一种判断老年人摔倒行为及身体平衡能力的方法
US10062010B2 (en) * 2015-06-26 2018-08-28 Intel Corporation System for building a map and subsequent localization
US20170024531A1 (en) 2015-07-22 2017-01-26 Radicalogic Technologies, Inc. Dba Rl Solutions Systems and methods for near-real or real-time contact tracing
WO2017100220A1 (fr) * 2015-12-07 2017-06-15 Rapidsos, Inc. Systèmes et procédés de prédiction de situations d'urgence
US20170273601A1 (en) 2016-03-28 2017-09-28 Lumo BodyTech, Inc System and method for applying biomechanical characterizations to patient care
CN106056035A (zh) 2016-04-06 2016-10-26 南京华捷艾米软件科技有限公司 一种基于体感技术的幼儿园智能监控方法
WO2017206156A1 (fr) * 2016-06-03 2017-12-07 Intel Corporation Couche convolutive de consultation dans un réseau neuronal convolutif
FR3053509B1 (fr) 2016-06-30 2019-08-16 Fittingbox Procede d’occultation d’un objet dans une image ou une video et procede de realite augmentee associe
US10042755B2 (en) 2016-09-28 2018-08-07 Micron Technology, Inc. 3D vertical NAND memory device including multiple select lines and control lines having different vertical spacing
US10866631B2 (en) * 2016-11-09 2020-12-15 Rockwell Automation Technologies, Inc. Methods, systems, apparatuses, and techniques for employing augmented reality and virtual reality
US12254755B2 (en) * 2017-02-13 2025-03-18 Starkey Laboratories, Inc. Fall prediction system including a beacon and method of using same
US11281518B2 (en) * 2017-02-24 2022-03-22 Telefonaktiebolaget Lm Ericsson (Publ) Method and system for fault localization in a cloud environment
US20180302403A1 (en) * 2017-04-13 2018-10-18 Plas.md, Inc. System and method for location-based biometric data collection and processing
KR102013935B1 (ko) * 2017-05-25 2019-08-23 삼성전자주식회사 위험 상황을 감지하는 방법 및 시스템
US11158179B2 (en) * 2017-07-27 2021-10-26 NXT-ID, Inc. Method and system to improve accuracy of fall detection using multi-sensor fusion
CN107411515A (zh) 2017-07-27 2017-12-01 胡彦 产妇跌倒保护装置
US10475169B2 (en) * 2017-11-28 2019-11-12 Adobe Inc. High dynamic range illumination estimation
US10825318B1 (en) * 2018-04-09 2020-11-03 State Farm Mutual Automobile Insurance Company Sensing peripheral heuristic evidence, reinforcement, and engagement system
US10949211B2 (en) * 2018-12-20 2021-03-16 Vmware, Inc. Intelligent scheduling of coprocessor execution
US10891843B2 (en) * 2019-01-03 2021-01-12 International Business Machines Corporation Methods and systems for managing hazard risk based on location and incident data
US11507084B2 (en) * 2019-03-27 2022-11-22 Intel Corporation Collaborative 3-D environment map for computer-assisted or autonomous driving vehicles
US12034748B2 (en) 2020-02-28 2024-07-09 Electronic Caregiver, Inc. Intelligent platform for real-time precision care plan support during remote care management
US12125137B2 (en) 2020-05-13 2024-10-22 Electronic Caregiver, Inc. Room labeling drawing interface for activity tracking and detection
US12127817B2 (en) 2020-07-22 2024-10-29 Electronic Caregiver, Inc. Systems and methods for mitigating the spread of infectious diseases

Patent Citations (122)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5211642A (en) * 1991-10-28 1993-05-18 Clendenning Beverly F Chambers drainage system
US5475953A (en) * 1994-09-29 1995-12-19 Powerflor, Inc. 2-shaped edge molding strip
US6665647B1 (en) 1997-11-24 2003-12-16 Chris A. Haudenschild Enterprise healthcare management system and method of using same
US20020062342A1 (en) 2000-11-22 2002-05-23 Sidles Charles S. Method and system for completing forms on wide area networks such as the internet
US20020196944A1 (en) 2001-02-16 2002-12-26 United Parcel Service Of America, Inc. Systems and methods for licensing and providing selective access to network applications
US20050035862A1 (en) 2001-05-08 2005-02-17 Wildman Timothy D. Article locating and tracking apparatus and method
US20040109470A1 (en) 2002-11-18 2004-06-10 Jacob Derechin System and method for reducing bandwidth requirements for remote applications by utilizing client processing power
US7233872B2 (en) 2003-02-14 2007-06-19 Akebono Brake Industry Co., Ltd. Difference correcting method for posture determining instrument and motion measuring instrument
US20050055942A1 (en) * 2003-08-26 2005-03-17 M & M Flooring Method for manufacturing and installing a prefabricated hardwood floor
US20110145018A1 (en) 2005-03-21 2011-06-16 Fotsch Edward J Drug and medical device safety and support information reporting system, processing device and method
US20130000228A1 (en) * 2006-02-09 2013-01-03 University Of Notre Dame Du Lac Flooring apparatus for reducing impact energy during a fall
US20070238936A1 (en) 2006-04-10 2007-10-11 Shirley Ann Becker Portable Electronic Medical Assistant
US20150359467A1 (en) 2006-05-24 2015-12-17 Empire Ip Llc Fitness Monitoring
US20080010293A1 (en) 2006-07-10 2008-01-10 Christopher Zpevak Service level agreement tracking system
US7971141B1 (en) 2006-10-31 2011-06-28 Intuit Inc. Method and system for populating a form based on an existing format
US7445086B1 (en) * 2007-01-16 2008-11-04 Daniel Sizemore Ladder lock
US7612681B2 (en) 2007-02-06 2009-11-03 General Electric Company System and method for predicting fall risk for a resident
US20090094285A1 (en) 2007-10-03 2009-04-09 Mackle Edward G Recommendation apparatus
US8206325B1 (en) 2007-10-12 2012-06-26 Biosensics, L.L.C. Ambulatory system for measuring and monitoring physical activity and risk of falling and for automatic fall detection
US20150019250A1 (en) 2009-05-22 2015-01-15 A-Vu Media Corp. Manager-controllable integrated user content and services system
US20110126207A1 (en) 2009-11-25 2011-05-26 Novell, Inc. System and method for providing annotated service blueprints in an intelligent workload management system
US20130204545A1 (en) 2009-12-17 2013-08-08 James C. Solinsky Systems and methods for sensing balanced-action for improving mammal work-track efficiency
US20110232708A1 (en) * 2010-03-24 2011-09-29 James Martin Kemp Walker and wheel assembly
US20120025989A1 (en) 2010-07-30 2012-02-02 General Electric Company Method and system for detecting a fallen person using a range imaging device
US20130145449A1 (en) 2010-08-03 2013-06-06 Jens-Uwe Busser Method and Apparatus for Providing a One-Time Password
US20120179916A1 (en) 2010-08-18 2012-07-12 Matt Staker Systems and methods for securing virtual machine computing environments
US20120154582A1 (en) 2010-09-14 2012-06-21 General Electric Company System and method for protocol adherence
US20150109442A1 (en) 2010-09-23 2015-04-23 Stryker Corporation Video monitoring system
US20120075464A1 (en) 2010-09-23 2012-03-29 Stryker Corporation Video monitoring system
US20120121849A1 (en) * 2010-11-12 2012-05-17 Suminoe Textile Co., Ltd. Automobile use mat with a distinguished anti-slip feature
US20120120184A1 (en) 2010-11-15 2012-05-17 Cisco Technology, Inc. System and method for providing camera functions in a video environment
US20150169835A1 (en) * 2010-12-01 2015-06-18 University Of Utah Research Foundation Faint and fall assessment
US20120165618A1 (en) 2010-12-22 2012-06-28 Richard Algoo Method and apparatus for health avatar
US20120179067A1 (en) 2011-01-10 2012-07-12 William Oren Wekell System and method for patient monitoring
US20120229634A1 (en) 2011-03-11 2012-09-13 Elisabeth Laett Method and system for monitoring the activity of a subject within spatial temporal and/or behavioral parameters
US20120253233A1 (en) * 2011-03-31 2012-10-04 Greene Barry Algorithm for quantitative standing balance assessment
US20130127620A1 (en) 2011-06-20 2013-05-23 Cerner Innovation, Inc. Management of patient fall risk
US20140128691A1 (en) 2011-07-08 2014-05-08 Global Nutrition & Health Inc. Personalized Nutritional and Wellness Assistant
US20180189756A1 (en) 2011-08-18 2018-07-05 Visa International Service Association Multi-directional wallet connector apparatuses, methods and systems
US8771206B2 (en) 2011-08-19 2014-07-08 Accenture Global Services Limited Interactive virtual care
US20140243686A1 (en) 2011-10-17 2014-08-28 Zebadiah M. Kimmel Method and apparatus for detecting deterioration of health status
US20170344706A1 (en) 2011-11-11 2017-11-30 Rutgers, The State University Of New Jersey Systems and methods for the diagnosis and treatment of neurological disorders
US20130167025A1 (en) 2011-12-27 2013-06-27 Tata Consultancy Services Limited System and method for online user assistance
US20130212501A1 (en) 2012-02-10 2013-08-15 Glen J. Anderson Perceptual computing with conversational agent
US20130237395A1 (en) 2012-03-09 2013-09-12 Kari Hjelt Dynamically configurable balancing board
US20140232600A1 (en) 2012-03-21 2014-08-21 Secure Care Products, Llc Outdoor Object Location System and Method Thereof
US20130289449A1 (en) 2012-04-27 2013-10-31 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
US20140148733A1 (en) 2012-04-27 2014-05-29 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
US20170000422A1 (en) 2012-08-16 2017-01-05 Ginger.io, Inc. Method and system for modeling behavior and heart disease state
US20140337048A1 (en) 2012-09-07 2014-11-13 Next It Corporation Conversational Virtual Healthcare Assistant
WO2014043757A1 (fr) 2012-09-20 2014-03-27 National Ict Australia Limited Détection de foulée
US20140171039A1 (en) 2012-10-04 2014-06-19 Bernt Erik Bjontegard Contextually intelligent communication systems and processes
US20140171834A1 (en) 2012-10-20 2014-06-19 Elizabethtown College Electronic-Movement Analysis Tool for Motor Control Rehabilitation and Method of Using the Same
US20170344832A1 (en) * 2012-11-28 2017-11-30 Innovative Alert Systems Inc. System and method for event monitoring and detection
US20140330172A1 (en) 2013-02-27 2014-11-06 Emil Jovanov Systems and Methods for Automatically Quantifying Mobility
US20180322405A1 (en) 2013-03-14 2018-11-08 Google Llc Smart-home environment networking systems and methods
US20140278605A1 (en) 2013-03-15 2014-09-18 Ncr Corporation System and method of completing an activity via an agent
US20140368601A1 (en) 2013-05-04 2014-12-18 Christopher deCharms Mobile security technology
US20140358828A1 (en) * 2013-05-29 2014-12-04 Purepredictive, Inc. Machine learning generated action plan
US9591996B2 (en) 2013-06-07 2017-03-14 Lumo BodyTech, Inc System and method for detecting transitions between sitting and standing states
US20160267327A1 (en) 2013-10-17 2016-09-15 Drägerwerk AG & Co. KGaA Method for monitoring a patient within a medical monitoring area
US20160253890A1 (en) 2013-10-29 2016-09-01 Milbat - Giving Quality of Life Walker-assist device
US20160026354A1 (en) * 2014-02-06 2016-01-28 Empoweryu, Inc. System and method for adaptive indirect monitoring of subject for well-being in unattended setting
KR20160040078A (ko) 2014-10-02 2016-04-12 (주)직토 휴대용 전자기기의 바디 밸런스 측정 방법 및 장치
US20160154977A1 (en) 2014-11-27 2016-06-02 Vilasa Palleda Jagadish Transmitting medical datasets
US20160217264A1 (en) 2015-01-27 2016-07-28 Catholic Health Initiatives Systems and methods for virtually integrated care delivery
US20160314255A1 (en) * 2015-04-21 2016-10-27 Diane J. Cook Environmental sensor-based cognitive assessment
US20180182472A1 (en) * 2015-06-30 2018-06-28 Kenzie L. Preston Method and system for a mobile health platform
US20170000387A1 (en) * 2015-06-30 2017-01-05 iShoe, Inc. Identifying fall risk using machine learning algorithms
US20170055917A1 (en) * 2015-08-28 2017-03-02 Erik E. Stone Systems for automatic assessment of fall risk
US20170140631A1 (en) 2015-09-17 2017-05-18 Luvozo Pbc Automated environment hazard detection
US10387963B1 (en) 2015-09-24 2019-08-20 State Farm Mutual Automobile Insurance Company Method and system of generating a call agent avatar using artificial intelligence
US20170147154A1 (en) 2015-11-19 2017-05-25 Travis William Steiner Context-aware recommendations of relevant presentation content displayed in mixed environments
US20210007631A1 (en) 2015-12-11 2021-01-14 Electronic Caregiver, Inc. Systems and methods for fall detection
US20180360349A9 (en) 2015-12-11 2018-12-20 SameDay Security, Inc. Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response
US10813572B2 (en) 2015-12-11 2020-10-27 Electronic Caregiver, Inc. Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response
US20170193163A1 (en) 2015-12-30 2017-07-06 Accenture Global Solutions Limited User device platform for interacting with cloud-based platform
US20170192950A1 (en) 2016-01-05 2017-07-06 Adobe Systems Incorporated Interactive electronic form workflow assistant that guides interactions with electronic forms in a conversational manner
US20170197115A1 (en) 2016-01-08 2017-07-13 Balance4Good Ltd. Balance testing and training system and method
US20170213145A1 (en) * 2016-01-21 2017-07-27 Verily Life Sciences Llc Adaptive model-based system to automatically quantify fall risk
US20180368780A1 (en) * 2016-02-04 2018-12-27 Dotvocal S.R.L. People monitoring and personal assistance system, in particular for elderly and people with special and cognitive needs
US20170337274A1 (en) 2016-05-17 2017-11-23 Google Inc. Unified message search
WO2018032089A1 (fr) 2016-08-19 2018-02-22 Qusaybatie Mahamad Eid Système, procédé et support lisible par ordinateur pour l'évaluation de risque d'endommagement par pression dynamique et une réponse au risque
US20180075558A1 (en) 2016-09-12 2018-03-15 National Health Coalition, Inc. Processing Pharmaceutical Prescriptions in Real Time Using a Clinical Analytical Message Data File
US9972187B1 (en) * 2016-11-13 2018-05-15 Agility4Life Biomechanical parameter determination for emergency alerting and health assessment
US20180165938A1 (en) * 2016-12-09 2018-06-14 Fuji Xerox Co., Ltd. Monitoring apparatus and non-transitory computer readable medium
US10628635B1 (en) 2017-03-29 2020-04-21 Valyant AI, Inc. Artificially intelligent hologram
US20190029900A1 (en) 2017-07-28 2019-01-31 Hill-Rom Services, Inc. Bed-based safety protocol control
US20190042700A1 (en) 2017-08-02 2019-02-07 Imam Abdulrahman Bin Faisal University Apparatus and method for real-time assessment, mapping, and building databases of quality of life indicators
US20190057320A1 (en) * 2017-08-16 2019-02-21 ODH, Inc. Data processing apparatus for accessing shared memory in processing structured data for modifying a parameter vector data structure
US20190090786A1 (en) * 2017-09-27 2019-03-28 Samsung Electronics Co., Ltd. Method and device for detecting dangerous situation
US20190116212A1 (en) 2017-10-16 2019-04-18 Vincent Paul Spinella-Mamo Contextual and Collaborative Media
US20190130110A1 (en) * 2017-11-01 2019-05-02 International Business Machines Corporation Protecting Cognitive Systems from Gradient Based Attacks through the Use of Deceiving Gradients
US20190164015A1 (en) * 2017-11-28 2019-05-30 Sigma Ratings, Inc. Machine learning techniques for evaluating entities
US20190196888A1 (en) * 2017-12-27 2019-06-27 Pearson Education, Inc. Automated registration and greeting process - custom queueing (security)
US20190220727A1 (en) 2018-01-17 2019-07-18 SameDay Security, Inc. Computing Devices with Improved Interactive Animated Conversational Interface Systems
WO2019143397A1 (fr) 2018-01-17 2019-07-25 SameDay Security, Inc. Dispositifs informatiques dotés de systèmes d'interface conversationnelle animés et interactifs améliorés
EP3740856A1 (fr) 2018-01-17 2020-11-25 Electronic Caregiver, Inc. Dispositifs informatiques dotés de systèmes d'interface conversationnelle animés et interactifs améliorés
CN111801645A (zh) 2018-01-17 2020-10-20 电子护理公司 具有经改进交互式动画会话界面系统的计算装置
KR20200105519A (ko) 2018-01-17 2020-09-07 일렉트로닉 케어기버, 아이앤씨. 개선된 상호작용의 애니메이션 대화형 인터페이스 시스템을 갖는 컴퓨팅 장치
US20190259475A1 (en) 2018-02-20 2019-08-22 SameDay Security, Inc. Connected Kiosk for the Real-Time Assessment of Falls Risk
KR20200121832A (ko) 2018-02-20 2020-10-26 일렉트로닉 케어기버, 아이앤씨. 낙상 위험의 실시간 평가용 연결된 키오스크
CN111801939A (zh) 2018-02-20 2020-10-20 电子护理公司 用于实时跌倒风险评估的经连接自助服务终端
EP3756344A1 (fr) 2018-02-20 2020-12-30 Electronic Caregiver, Inc. Kiosque connecté permettant l'évaluation en temps réel d'un risque de chute
WO2019164585A1 (fr) 2018-02-20 2019-08-29 SameDay Security, Inc. Kiosque connecté permettant l'évaluation en temps réel d'un risque de chute
US20190286942A1 (en) * 2018-03-13 2019-09-19 Recogni Inc. Deterministic labeled data generation and artificial intelligence training pipeline
EP3768164A1 (fr) 2018-03-19 2021-01-27 Electronic Caregiver, Inc. Application consommateur pour évaluation à l'aide d'un mobile de la capacité fonctionnelle et du risque de chute
KR20200130713A (ko) 2018-03-19 2020-11-19 일렉트로닉 케어기버, 아이앤씨. 기능적 능력 및 낙상 위험의 모바일 평가용 소비자 애플리케이션
WO2019182792A1 (fr) 2018-03-19 2019-09-26 Electronic Caregiver, Inc. Application consommateur pour évaluation à l'aide d'un mobile de la capacité fonctionnelle et du risque de chute
CN111867467A (zh) 2018-03-19 2020-10-30 电子护理公司 用于功能能力及跌倒风险的移动评估的消费者应用程序
US20190282130A1 (en) 2018-03-19 2019-09-19 SameDay Security, Inc. Consumer application for mobile assessment of functional capacity and falls risk
EP3773174A1 (fr) 2018-04-10 2021-02-17 Electronic Caregiver, Inc. Système mobile pour l'évaluation de l'observance thérapeutique d'un patient et la fourniture d'une prestation de services de soins mobile
WO2019199549A1 (fr) 2018-04-10 2019-10-17 Electronic Caregiver, Inc. Système mobile pour l'évaluation de l'observance thérapeutique d'un patient et la fourniture d'une prestation de services de soins mobile
US20190311792A1 (en) 2018-04-10 2019-10-10 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US20190318165A1 (en) * 2018-04-16 2019-10-17 Peerwell, Inc. Hazard recognition
US20190385749A1 (en) 2018-06-18 2019-12-19 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
WO2019245713A1 (fr) 2018-06-18 2019-12-26 Electronic Caregiver, Inc. Systèmes et procédés pour un assistant médical personnel virtuel, intelligent et personnalisable
EP3815108A1 (fr) 2018-06-18 2021-05-05 Electronic Caregiver, Inc. Systèmes et procédés pour un assistant médical personnel virtuel, intelligent et personnalisable
US20200101969A1 (en) * 2018-09-28 2020-04-02 Intel Corporation Vehicle controller and method for controlling a vehicle
WO2020163180A1 (fr) 2019-02-05 2020-08-13 Electronic Caregiver, Inc. Identification des risques d'un environnement 3d utilisant un apprentissage renforcé
US20200251220A1 (en) 2019-02-05 2020-08-06 Electronic Caregiver, Inc. 3d environment risks identification utilizing reinforced learning
WO2020227303A1 (fr) 2019-05-07 2020-11-12 Electronic Caregiver, Inc. Systèmes et procédés pour une identification prédictive de risque de chute environnemental

Non-Patent Citations (16)

* Cited by examiner, † Cited by third party
Title
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2018/057814, dated Jan. 11, 2019, 9 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2018/068210, dated Apr. 12, 2019, 9 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2019/021678, dated May 24, 2019, 12 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2019/025652, dated Jul. 18, 2019, 11 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2019/034206, dated Aug. 1, 2019, 11 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2020/016248, dated May 11, 2020, 7 pages.
"International Search Report" and "Written Opinion of the International Searching Authority," Patent Cooperation Treaty Application No. PCT/US2020/031486, dated Aug. 3, 2020, 7 pages.
"Office Action", Australia Patent Application No. 2019240484, dated Nov. 13, 2020, 4 pages.
"Office Action", India Patent Application No. 202027035634, Jun. 30, 2021, 10 pages.
Bajaj, Prateek, "Reinforcement Learning", GeeksForGeeks.org [online], [retrieved on Mar. 4, 2020], Retrieved from the Internet:<URL:https://www.geeksforgeeks.org/what-is-reinforcement-learning/>, 7 pages.
Bellemare et al., A Distributional Perspective on Reinforcement Learning:, Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia, Jul. 21, 2017, 19 pages.
Friston et al., "Reinforcement Learning or Active Inference?" Jul. 29, 2009, [online], [retrieved on Mar. 4, 2020], Retrieved from the Internet:<URL:https://doi.org/10.1371/journal.pone.0006421 PLoS ONE 4(7): e6421>, 13 pages.
Kung-Hsiang, Huang (Steeve), "Introduction to Various RL Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG)", Towards Data Science, [online], [retrieved on Mar. 4, 2020], Retrieved from the Internet:<URL:https://towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-i-q-learning-sarsa-dqn-ddpg-72a5e0cb6287>, 5 pages.
Leber, Jessica, "The Avatar will See You Now", MIT Technology Review, Sep. 17, 2013, 4 pages.
Rosen et al., "Slipping and Tripping: Fall Injuries in Adults Associated with Rugs and Carpets," Journal of Injury & Violence Research, 5(1), (2013), pp. 61-69.
Zhang et al., "DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN" ICC 2019—2019 IEEE International Conference on Communications (ICC), Shanghai, China, doi: 10.1109/ICC.2019.8761183, pp. 1-7.

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12011259B2 (en) 2015-12-11 2024-06-18 Electronic Caregiver, Inc. Systems and methods for fall detection
US12265900B2 (en) 2018-01-17 2025-04-01 Electronic Caregiver, Inc. Computing devices with improved interactive animated conversational interface systems
US11213224B2 (en) 2018-03-19 2022-01-04 Electronic Caregiver, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US11923058B2 (en) 2018-04-10 2024-03-05 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US11488724B2 (en) 2018-06-18 2022-11-01 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
US11791050B2 (en) 2019-02-05 2023-10-17 Electronic Caregiver, Inc. 3D environment risks identification utilizing reinforced learning
US12033484B2 (en) 2019-05-07 2024-07-09 Electronic Caregiver, Inc. Systems and methods for predictive environmental fall risk identification using dynamic input
US12034748B2 (en) 2020-02-28 2024-07-09 Electronic Caregiver, Inc. Intelligent platform for real-time precision care plan support during remote care management
US12125137B2 (en) 2020-05-13 2024-10-22 Electronic Caregiver, Inc. Room labeling drawing interface for activity tracking and detection
US12127817B2 (en) 2020-07-22 2024-10-29 Electronic Caregiver, Inc. Systems and methods for mitigating the spread of infectious diseases
US20220067547A1 (en) * 2020-09-01 2022-03-03 International Business Machines Corporation Smart environment mitigation of identified risk
US12009083B2 (en) 2020-11-16 2024-06-11 Electronic Caregiver, Inc. Remote physical therapy and assessment of patients

Also Published As

Publication number Publication date
US12033484B2 (en) 2024-07-09
AU2020267402A1 (en) 2021-11-11
BR112021020866A2 (pt) 2021-12-14
WO2020227303A1 (fr) 2020-11-12
SG11202111811RA (en) 2021-11-29
CA3137309A1 (fr) 2020-11-12
JP2022531490A (ja) 2022-07-06
EP3966657A4 (fr) 2023-01-25
KR20210151885A (ko) 2021-12-14
EP3966657A1 (fr) 2022-03-16
CN113795808A (zh) 2021-12-14
US20200357256A1 (en) 2020-11-12
US20210398410A1 (en) 2021-12-23

Similar Documents

Publication Publication Date Title
US12033484B2 (en) Systems and methods for predictive environmental fall risk identification using dynamic input
US11880799B2 (en) Remote cleaning quality management systems and related methods of use
Kwon et al. Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people
US11481811B2 (en) Electronic device and method for controlling same
US20170004269A1 (en) Systems and methods for estimating mental health assessment results
EP3594864B1 (fr) Dispositif d&#39;inférence de facteur, système d&#39;inférence de facteur et procédé d&#39;inférence de facteur
Ward et al. Fall detectors: a review of the literature
US11200507B2 (en) System and method for optimal sensor placement
JP6591232B2 (ja) 連想メモリによって分類されたフレームを使用して位置に対する計量値を取得すること
Hemmatpour et al. Nonlinear Predictive Threshold Model for Real‐Time Abnormal Gait Detection
CN109961178A (zh) 户型改造信息的获取方法及装置
CN119301428B (zh) 使用热数据进行的姿势检测
Sansano-Sansano et al. Multimodal Sensor Data Integration for Indoor Positioning in Ambient‐Assisted Living Environments
Pandya et al. Smart aging wellness sensor networks: a near real-time daily activity health monitoring, anomaly detection and alert system
Payandeh et al. Application of modified pagerank algorithm for anomaly detection in movements of older adults
JP6399948B2 (ja) 情報処理装置及び情報処理方法
US20220093277A1 (en) Path analytics of disease vectors in a physical space using smart floor tiles
Lajot et al. How contact patterns during the COVID-19 pandemic are related to pre-pandemic contact patterns and mobility trends
US20220398549A1 (en) Assistance device and assistance program
Ekwevugbe et al. Advanced occupancy sensing for energy efficiency in office buildings
KR102646691B1 (ko) 개인 맞춤형 치매 진단 방법 및 그 장치
Wichmann et al. Why do Visitors intend to use Indoor Navigation and Indoor Localization Systems in Hospitals? A Quantitative Survey from Germany
CN116184849B (zh) 一种生物体监测管理方法和系统
Caroppo et al. Multi-sensor platform for detection of anomalies in human sleep patterns
CN105512830A (zh) 乳品质量监测系统及方法

Legal Events

Date Code Title Description
FEPP Fee payment procedure

Free format text: ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: BIG.); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

AS Assignment

Owner name: ELECTRONIC CAREGIVER, INC., NEW MEXICO

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:WRIGHT, JACOB R.;RICH, HANNAH S.;SIGNING DATES FROM 20190522 TO 20200504;REEL/FRAME:052577/0218

FEPP Fee payment procedure

Free format text: ENTITY STATUS SET TO SMALL (ORIGINAL EVENT CODE: SMAL); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS

STPP Information on status: patent application and granting procedure in general

Free format text: PUBLICATIONS -- ISSUE FEE PAYMENT VERIFIED

STCF Information on status: patent grant

Free format text: PATENTED CASE

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YR, SMALL ENTITY (ORIGINAL EVENT CODE: M2551); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

Year of fee payment: 4